
a training set that will be used for the actual learning / training (Sec. REF ),

a validation set that will be used for assessing whether the training results are good enough and to fine-tune the modelAlternatively, we can use cross-validation [1]}. (Sec. REF ).

a test set, that will be used to get a last measure of how well the model performs on real-world data before pushing the model into production (Sec. REF ).

